Situation: Productivity loss and high power consumption, with difficulties identifying root causes due to manual operations.

Task: Identify the root causes of productivity loss and excessive power consumption across manufacturing operations. Enable real-time visibility into machine performance and reduce dependency on manual monitoring

Action: Implemented IoT sensors across production equipment to capture real-time machine, energy, and operational data. Deployed AI models to detect inefficiencies, predict downtime, identify root causes, and optimize energy consumption.

Result: Reduced productivity loss by 28% and lowered power consumption by 22% across operations. Improved machine uptime by 35% and delivered ROI within 12 months through smarter operational efficiency.

Situation: A diagnostics company operated multiple labs across the city, where over 50% of lab capacity was underutilized while others were overburdened; since each diagnostic machine has a limited lifespan, this imbalance meant the expected ROI was not being achieved.

Task: The goal was to maximize utilization of lab machinery by identifying capacity gaps, understanding demand patterns, and optimizing patient distribution across locations.

Action: We used AI-driven forecasting to predict demand and machine availability, identified underutilized labs, and redirected patient flow through smart scheduling and targeted incentives.

Result: This led to a 30–40% increase in overall lab utilization and a significant improvement in operational efficiency (25%+), along with faster turnaround times, better asset ROI, and an enhanced patient experience.

Situation: Reliance on offline sales, printed catalogs, low footfall, limited outreach, and a fragmented partner network restricted growth

Task: Expand customer reach beyond physical stores and improve product discovery. Create a connected B2B and B2C buying experience across customers, retailers, and partners.

Action: Built a digital commerce platform enabling online product discovery, virtual catalog browsing, prescription integration, and seamless ordering. Integrated partner networks, inventory visibility, and personalized recommendations to create a unified shopping journey.

Result: Increased customer reach by 4X and boosted online sales conversions by 38% . Improved partner order efficiency by 45% and increased overall revenue by 27% within the first year.